The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
A systematic genome-wide analysis of zebrafish protein-coding gene function
Open accessAbstract
Since the publication of the human reference genome, the identities of specific genes associated with human diseases are being discovered at a rapid rate. A central problem is that the biological activity of these genes is often unclear. Detailed investigations in model vertebrate organisms, typically mice, have been essential for understanding the activities of many orthologues of these disease-associated genes. Although gene-targeting approaches and phenotype analysis have led to a detailed understanding of nearly 6,000 protein-coding genes, this number falls considerably short of the more than 22,000 mouse protein-coding genes. Similarly, in zebrafish genetics, one-by-one gene studies using positional cloning, insertional mutagenesis, antisense morpholino oligonucleotides, targeted re-sequencing, and zinc finger and TAL endonucleases have made substantial contributions to our understanding of the biological activity of vertebrate genes, but again the number of genes studied falls well short of the more than 26,000 zebrafish protein-coding genes. Importantly, for both mice and zebrafish, none of these strategies are particularly suited to the rapid generation of knockouts in thousands of genes and the assessment of their biological activity. Here we describe an active project that aims to identify and phenotype the disruptive mutations in every zebrafish protein-coding gene, using a well-annotated zebrafish reference genome sequence, high-throughput sequencing and efficient chemical mutagenesis. So far we have identified potentially disruptive mutations in more than 38% of all known zebrafish protein-coding genes. We have developed a multi-allelic phenotyping scheme to efficiently assess the effects of each allele during embryogenesis and have analysed the phenotypic consequences of over 1,000 alleles. All mutant alleles and data are available to the community and our phenotyping scheme is adaptable to phenotypic analysis beyond embryogenesis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
The zebrafish reference genome sequence and its relationship to the human genome.
Howe, K., Clark, M. D., Torroja, C. F., Torrance, J., Berthelot, C., Muffato, M., Collins, J. E., Humphray, S., McLaren, K., Matthews, L., et al. (2013) · Nature · doi:10.1038/nature12111 · Cited by 5,100
Self-citationEffective targeted gene ‘knockdown’ in zebrafish
Nasevicius, A., & Ekker, S. C. (2000) · Nature Genetics · doi:10.1038/79951 · Cited by 2,483
Haffter, P., Granato, M., Brand, M., Mullins, M. C., Hammerschmidt, M., Kane, D. A., Odenthal, J., J. M. van Eeden, F., Jiang, Y.-J., Heisenberg, C.-P., et al. (1996) · Development · doi:10.1242/dev.123.1.1 · Cited by 1,662
Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor
McLaren, W., Pritchard, B., Rios, D., Chen, Y., Flicek, P., & Cunningham, F. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq330 · Cited by 1,586
Genotype and SNP calling from next-generation sequencing data
Nielsen, R., Paul, J. S., Albrechtsen, A., & Song, Y. S. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2986 · Cited by 1,396
A genetic screen for mutations affecting embryogenesis in zebrafish
Driever, W., Solnica-Krezel, L., Schier, A. F., Neuhauss, S. C. F., Malicki, J., Stemple, D. L., Stainier, D. Y. R., Zwartkruis, F., Abdelilah, S., Rangini, Z., et al. (1996) · Development · doi:10.1242/dev.123.1.37 · Cited by 1,337
Self-citationHeritable targeted gene disruption in zebrafish using designed zinc-finger nucleases
Doyon, Y., McCammon, J. M., Miller, J. C., Faraji, F., Ngo, C., Katibah, G. E., Amora, R., Hocking, T. D., Zhang, L., Rebar, E. J., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1409 · Cited by 896
Cited by
The zebrafish reference genome sequence and its relationship to the human genome.
Howe, K., Clark, M. D., Torroja, C. F., Torrance, J., Berthelot, C., Muffato, M., Collins, J. E., Humphray, S., McLaren, K., Matthews, L., et al. (2013) · Nature · doi:10.1038/nature12111 · Cited by 5,100
Self-citationLarge-scale discovery of novel genetic causes of developmental disorders
Study, T. D. D. D. (2015) · Nature · doi:10.1038/nature14135 · Cited by 1,124
A high-resolution mRNA expression time course of embryonic development in zebrafish
White, R. J., Collins, J. E., Sealy, I. M., Wali, N., Dooley, C. M., Digby, Z., Stemple, D. L., Murphy, D. N., Billis, K., Hourlier, T., et al. (2017) · eLife · doi:10.7554/elife.30860 · Cited by 361
Self-citationIdentification of a large set of rare complete human knockouts
Sulem, P., Helgason, H., Oddson, A., Stefansson, H., Gudjonsson, S. A., Zink, F., Hjartarson, E., Sigurdsson, G. T., Jonasdottir, A., Jonasdottir, A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3243 · Cited by 220
Phenotypic Landscape of Schizophrenia-Associated Genes Defines Candidates and Their Shared Functions
Thyme, S. B., Pieper, L. M., Li, E. H., Pandey, S., Wang, Y., Morris, N. S., Sha, C., Choi, J. W., Herrera, K. J., Soucy, E. R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.048 · Cited by 220
Metadata
- Authors
- Kettleborough, R. N. W., Busch-Nentwich, E. M., Harvey, S. A., Dooley, C. M., de Bruijn, E., van Eeden, F., Sealy, I., White, R. J., Herd, C., Nijman, I. J., Fényes, F., Mehroke, S., Scahill, C., Gibbons, R., Wali, N., Carruthers, S., Hall, A., Yen, J., Cuppen, E., & Stemple, D. L.
- Venue
- Nature
- Published
- 2013-04
- Volume
- 496
- Issue
- 7446
- Pages
- 494-497
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1973938885
- Cited by
- 621
- References
- 29
- FWCI
- 34.51
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A systematic genome-wide analysis of zebrafish protein-coding gene function. https://app.cochat.ai/papers/10.1038/nature11992
- The paper
- Kettleborough, R. N. W., Busch-Nentwich, E. M., Harvey, S. A., Dooley, C. M., de Bruijn, E., van Eeden, F., Sealy, I., White, R. J., Herd, C., Nijman, I. J., Fényes, F., Mehroke, S., Scahill, C., Gibbons, R., Wali, N., Carruthers, S., Hall, A., Yen, J., Cuppen, E., & Stemple, D. L. (2013). A systematic genome-wide analysis of zebrafish protein-coding gene function. Nature. https://doi.org/10.1038/nature11992
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.